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Research paper thumbnail of Floodlight Controller onto Load Balancing of SDN Management

For managing SDN are still working, but some things have become quite clear. Network management s... more For managing SDN are still working, but some things have become quite clear. Network management systems will need new interfaces for interacting with cloud orchestration systems and SDN controllers. New network devices that provide a great deal of data about the overall network, SDN controllers also have tremendous impact on network state, given their ability to program other network devices. Two-way integration between a network management system and an SDN controller allows that network management system to do the following. Despite these regular improvements and upgrading, computer networks of today are struggling to meet 10 heterogeneous and ubiquitous society's demand. The architectural inflexibility of computer networks gives researchers challenges in experimenting new ideas. The paradigm SDN then ONFarchitecture, open ways for implementation of a programmable network architecture to be applied gradually in production networks. software switches into a virtual network envi...

Research paper thumbnail of The Big Data in Software Defined Network for Wireless Application

Journal of Advanced Research in Dynamical and Control Systems

Data has become the strong and effective in every applications such as a smart applications, ITin... more Data has become the strong and effective in every applications such as a smart applications, ITindustry, ITbusiness function. A huge data as word that utilized the datasets to identify it in which the capability of the tools database software to control, store, Configuration and implementation. Therefore the potential for making the performance very quickly or fasterinto advances in numerous scientific scopes after that increasing profitability of several enterprises. A massive data introduce many difficulties to make a good execution that containing storage then the scalability, spurious correlation,noise accumulation, and errors inmeasurement. These challenges are distinguished, this study is introduce general features and the background of massive data applications then review this regarded to these technologies, issues [d1] for dealing with a huge data.

Research paper thumbnail of Floodlight Controller onto Load Balancing of SDN Management

For managing SDN are still working, but some things have become quite clear. Network management s... more For managing SDN are still working, but some things have become quite clear. Network management systems will need new interfaces for interacting with cloud orchestration systems and SDN controllers. New network devices that provide a great deal of data about the overall network, SDN controllers also have tremendous impact on network state, given their ability to program other network devices. Two-way integration between a network management system and an SDN controller allows that network management system to do the following. Despite these regular improvements and upgrading, computer networks of today are struggling to meet 10 heterogeneous and ubiquitous society's demand. The architectural inflexibility of computer networks gives researchers challenges in experimenting new ideas. The paradigm SDN then ONFarchitecture, open ways for implementation of a programmable network architecture to be applied gradually in production networks. software switches into a virtual network envi...

Research paper thumbnail of Big Data in software defined network for wireless application

Data has become the strong and effective in every applications such as a smart applications, ITin... more Data has become the strong and effective in every applications such as a smart applications, ITindustry, ITbusiness function. A huge data as word that utilized the datasets to identify it in which the capability of the tools database software to control, store, Configuration and implementation. Therefore the potential for making the performance very quickly or fasterinto advances in numerous scientific scopes after that increasing profitability of several enterprises. A massive data introduce many difficulties to make a good execution that containing storage then the scalability, spurious correlation,noise accumulation, and errors inmeasurement. These challenges are distinguished, this study is introduce general features and the background of massive data applications then review this regarded to these technologies, issues [d1] for dealing with a huge data.

Research paper thumbnail of Survey and comparison of different classification techniques for select appropriate classifier of image

Periodicals of Engineering and Natural Sciences (PEN), Oct 18, 2019

In human visual system, visual object classification is easy and effortless but in computer visio... more In human visual system, visual object classification is easy and effortless but in computer vision systems it is extremely hard Because of the various images of different objects within a specific class may have together with the various viewing conditions had led to have a serious problem. If some images have noisy contents or it contains blurry data, thus it is very hard to classify these types of images. Images processing introduces several techniques which be able to classify the data, but if image is blurry or noisy so they can not able to give the acceptable results. In this survey discuss the main classification methods consider, Supervised learning and unsupervised learning. The major motivation of this survey is to gives a brief comparison among different images classification techniques and methods. Finally, it is determined method that more accurately if an image contains blurry or noisy data.

Research paper thumbnail of Survey and comparison of different classification techniques for select appropriate classifier of image

Periodicals of Engineering and Natural Sciences (PEN)

In human visual system, visual object classification is easy and effortless but in computer visio... more In human visual system, visual object classification is easy and effortless but in computer vision systems it is extremely hard Because of the various images of different objects within a specific class may have together with the various viewing conditions had led to have a serious problem. If some images have noisy contents or it contains blurry data, thus it is very hard to classify these types of images. Images processing introduces several techniques which be able to classify the data, but if image is blurry or noisy so they can not able to give the acceptable results. In this survey discuss the main classification methods consider, Supervised learning and unsupervised learning. The major motivation of this survey is to gives a brief comparison among different images classification techniques and methods. Finally, it is determined method that more accurately if an image contains blurry or noisy data.

Research paper thumbnail of Survey and comparison of different classification techniques for select appropriate classifier of image

Periodicals of Engineering and Natural Sciences (PEN)

In human visual system, visual object classification is easy and effortless but in computer visio... more In human visual system, visual object classification is easy and effortless but in computer vision systems it is extremely hard Because of the various images of different objects within a specific class may have together with the various viewing conditions had led to have a serious problem. If some images have noisy contents or it contains blurry data, thus it is very hard to classify these types of images. Images processing introduces several techniques which be able to classify the data, but if image is blurry or noisy so they can not able to give the acceptable results. In this survey discuss the main classification methods consider, Supervised learning and unsupervised learning. The major motivation of this survey is to gives a brief comparison among different images classification techniques and methods. Finally, it is determined method that more accurately if an image contains blurry or noisy data.

Research paper thumbnail of Floodlight Controller onto Load Balancing of SDN Management

For managing SDN are still working, but some things have become quite clear. Network management s... more For managing SDN are still working, but some things have become quite clear. Network management systems will need new interfaces for interacting with cloud orchestration systems and SDN controllers. New network devices that provide a great deal of data about the overall network, SDN controllers also have tremendous impact on network state, given their ability to program other network devices. Two-way integration between a network management system and an SDN controller allows that network management system to do the following. Despite these regular improvements and upgrading, computer networks of today are struggling to meet 10 heterogeneous and ubiquitous society's demand. The architectural inflexibility of computer networks gives researchers challenges in experimenting new ideas. The paradigm SDN then ONFarchitecture, open ways for implementation of a programmable network architecture to be applied gradually in production networks. software switches into a virtual network environment replace physical switches. Software Defined Networking into Graphic User Interface, Floodlight controller was implemented as the network OS. Adapting its codes to develop components; packet forwarding/address learning, load balancer and firewall for optimizing network. This research achieved a state of the art network management from both a centralized after that Graphic User Interface ..

Research paper thumbnail of Using BIG DATA implementations onto Software Defined Networking

An elastic , effective, activety or intelligent ,graceful networking architecture layout be desir... more An elastic , effective, activety or intelligent ,graceful networking architecture layout be desired to make processing massive data. next to that ,existent network architectures be considerably incapable for cleatting the huge data. massive data thrusts network exchequers into border it consequence with in network overcrowding ,needy achievement, then permicious employer exprtises. this offered the current state-of-the-art research affronts ,potential solutions into huge data networking notion. More specifically, present the state of networking problems into massive data connected intrequirements,capacity,running , data manipulating also will introduce the architectures of MapReduce , Hadoop paradigm within research requirements, fabric networks and software defined networks which utilizized into making today's idly growing digital world and compare and contrast into identify relevant drawbacks and solutions.

Research paper thumbnail of Floodlight Controller onto Load Balancing of SDN Management

For managing SDN are still working, but some things have become quite clear. Network management s... more For managing SDN are still working, but some things have become quite clear. Network management systems will need new interfaces for interacting with cloud orchestration systems and SDN controllers. New network devices that provide a great deal of data about the overall network, SDN controllers also have tremendous impact on network state, given their ability to program other network devices. Two-way integration between a network management system and an SDN controller allows that network management system to do the following. Despite these regular improvements and upgrading, computer networks of today are struggling to meet 10 heterogeneous and ubiquitous society's demand. The architectural inflexibility of computer networks gives researchers challenges in experimenting new ideas. The paradigm SDN then ONFarchitecture, open ways for implementation of a programmable network architecture to be applied gradually in production networks. software switches into a virtual network envi...

Research paper thumbnail of The Big Data in Software Defined Network for Wireless Application

Journal of Advanced Research in Dynamical and Control Systems

Data has become the strong and effective in every applications such as a smart applications, ITin... more Data has become the strong and effective in every applications such as a smart applications, ITindustry, ITbusiness function. A huge data as word that utilized the datasets to identify it in which the capability of the tools database software to control, store, Configuration and implementation. Therefore the potential for making the performance very quickly or fasterinto advances in numerous scientific scopes after that increasing profitability of several enterprises. A massive data introduce many difficulties to make a good execution that containing storage then the scalability, spurious correlation,noise accumulation, and errors inmeasurement. These challenges are distinguished, this study is introduce general features and the background of massive data applications then review this regarded to these technologies, issues [d1] for dealing with a huge data.

Research paper thumbnail of Floodlight Controller onto Load Balancing of SDN Management

For managing SDN are still working, but some things have become quite clear. Network management s... more For managing SDN are still working, but some things have become quite clear. Network management systems will need new interfaces for interacting with cloud orchestration systems and SDN controllers. New network devices that provide a great deal of data about the overall network, SDN controllers also have tremendous impact on network state, given their ability to program other network devices. Two-way integration between a network management system and an SDN controller allows that network management system to do the following. Despite these regular improvements and upgrading, computer networks of today are struggling to meet 10 heterogeneous and ubiquitous society's demand. The architectural inflexibility of computer networks gives researchers challenges in experimenting new ideas. The paradigm SDN then ONFarchitecture, open ways for implementation of a programmable network architecture to be applied gradually in production networks. software switches into a virtual network envi...

Research paper thumbnail of Big Data in software defined network for wireless application

Data has become the strong and effective in every applications such as a smart applications, ITin... more Data has become the strong and effective in every applications such as a smart applications, ITindustry, ITbusiness function. A huge data as word that utilized the datasets to identify it in which the capability of the tools database software to control, store, Configuration and implementation. Therefore the potential for making the performance very quickly or fasterinto advances in numerous scientific scopes after that increasing profitability of several enterprises. A massive data introduce many difficulties to make a good execution that containing storage then the scalability, spurious correlation,noise accumulation, and errors inmeasurement. These challenges are distinguished, this study is introduce general features and the background of massive data applications then review this regarded to these technologies, issues [d1] for dealing with a huge data.

Research paper thumbnail of Survey and comparison of different classification techniques for select appropriate classifier of image

Periodicals of Engineering and Natural Sciences (PEN), Oct 18, 2019

In human visual system, visual object classification is easy and effortless but in computer visio... more In human visual system, visual object classification is easy and effortless but in computer vision systems it is extremely hard Because of the various images of different objects within a specific class may have together with the various viewing conditions had led to have a serious problem. If some images have noisy contents or it contains blurry data, thus it is very hard to classify these types of images. Images processing introduces several techniques which be able to classify the data, but if image is blurry or noisy so they can not able to give the acceptable results. In this survey discuss the main classification methods consider, Supervised learning and unsupervised learning. The major motivation of this survey is to gives a brief comparison among different images classification techniques and methods. Finally, it is determined method that more accurately if an image contains blurry or noisy data.

Research paper thumbnail of Survey and comparison of different classification techniques for select appropriate classifier of image

Periodicals of Engineering and Natural Sciences (PEN)

In human visual system, visual object classification is easy and effortless but in computer visio... more In human visual system, visual object classification is easy and effortless but in computer vision systems it is extremely hard Because of the various images of different objects within a specific class may have together with the various viewing conditions had led to have a serious problem. If some images have noisy contents or it contains blurry data, thus it is very hard to classify these types of images. Images processing introduces several techniques which be able to classify the data, but if image is blurry or noisy so they can not able to give the acceptable results. In this survey discuss the main classification methods consider, Supervised learning and unsupervised learning. The major motivation of this survey is to gives a brief comparison among different images classification techniques and methods. Finally, it is determined method that more accurately if an image contains blurry or noisy data.

Research paper thumbnail of Survey and comparison of different classification techniques for select appropriate classifier of image

Periodicals of Engineering and Natural Sciences (PEN)

In human visual system, visual object classification is easy and effortless but in computer visio... more In human visual system, visual object classification is easy and effortless but in computer vision systems it is extremely hard Because of the various images of different objects within a specific class may have together with the various viewing conditions had led to have a serious problem. If some images have noisy contents or it contains blurry data, thus it is very hard to classify these types of images. Images processing introduces several techniques which be able to classify the data, but if image is blurry or noisy so they can not able to give the acceptable results. In this survey discuss the main classification methods consider, Supervised learning and unsupervised learning. The major motivation of this survey is to gives a brief comparison among different images classification techniques and methods. Finally, it is determined method that more accurately if an image contains blurry or noisy data.

Research paper thumbnail of Floodlight Controller onto Load Balancing of SDN Management

For managing SDN are still working, but some things have become quite clear. Network management s... more For managing SDN are still working, but some things have become quite clear. Network management systems will need new interfaces for interacting with cloud orchestration systems and SDN controllers. New network devices that provide a great deal of data about the overall network, SDN controllers also have tremendous impact on network state, given their ability to program other network devices. Two-way integration between a network management system and an SDN controller allows that network management system to do the following. Despite these regular improvements and upgrading, computer networks of today are struggling to meet 10 heterogeneous and ubiquitous society's demand. The architectural inflexibility of computer networks gives researchers challenges in experimenting new ideas. The paradigm SDN then ONFarchitecture, open ways for implementation of a programmable network architecture to be applied gradually in production networks. software switches into a virtual network environment replace physical switches. Software Defined Networking into Graphic User Interface, Floodlight controller was implemented as the network OS. Adapting its codes to develop components; packet forwarding/address learning, load balancer and firewall for optimizing network. This research achieved a state of the art network management from both a centralized after that Graphic User Interface ..

Research paper thumbnail of Using BIG DATA implementations onto Software Defined Networking

An elastic , effective, activety or intelligent ,graceful networking architecture layout be desir... more An elastic , effective, activety or intelligent ,graceful networking architecture layout be desired to make processing massive data. next to that ,existent network architectures be considerably incapable for cleatting the huge data. massive data thrusts network exchequers into border it consequence with in network overcrowding ,needy achievement, then permicious employer exprtises. this offered the current state-of-the-art research affronts ,potential solutions into huge data networking notion. More specifically, present the state of networking problems into massive data connected intrequirements,capacity,running , data manipulating also will introduce the architectures of MapReduce , Hadoop paradigm within research requirements, fabric networks and software defined networks which utilizized into making today's idly growing digital world and compare and contrast into identify relevant drawbacks and solutions.